Abstract Neural network has been widely used in harmonic detection with its advantages of little calculation and high precision. It can calculate each harmonic component only by single-step. However, to determine the weights of neural network requires a learning process. In order to overcome delay defect of the frequency-domain detection method, this paper proposes a new adaptive predictive algorithm based on neural network. It can predict the future time of harmonic currents according to the current data and the former N-1 historical data, achieving the harmonic real-time and fast detection. Simulation results show that the algorithm achieves high accuracy and rapid speed.
Chen Shuhua,Fu Qing,Ma Guilong等. Harmonic Detection Based on Artificial Neural Network and Adaptive Predictive Algorithm[J]. Transactions of China Electrotechnical Society, 2011, 26(1增): 201-207.
[1] 蔡忠法, 陈隆道, 陈国志. 基于自适应神经网络的谐波分析模型与算法[J]. 电工技术学报, 2008, 23(7): 118-123. Cai Zhongfa, Chen Longdao, Chen Guozhi. Harmonic analysis model and algorithm based on adaptive neural network[J]. Transactions of China Electro-technical Society, 2008, 23(7): 118-123. [2] 王伟炳, 王宏华. 基于自适应神经网络的谐波和无功电流数字检测[J]. 电气应用, 2006, 25(4): 70-72. Wang Weibing, Wang Honghua. Digital detection of harmonic and reactive current based on adaptive network[J]. Electrical Applications, 2006, 25(4): 70- 72. [3] 于志豪, 刘志珍, 徐文尚. 基于电路模型和神经网络的谐波电流检测方法[J]. 电工技术学报, 2004, 19(9):86-89. Yu Zhihao, Liu Zhizhen, Xu Wenshang. A detecting approach of harmonic current based on the circuit model and artificial neural networks[J]. Transactions of China Electrotechnical Society, 2009, 22(2): 60-63. [4] 刘国翠, 王红然, 汪小平.基于自适应神经元的谐波检测方法研究[J]. 电子科技, 2009, 22(2): 60-63. Liu Tiancui, Wang Hongran, Wang Xiaoping. Research method for harmonic current measurment based on the adaptive linear element[J]. Electronics Technology, 2009, 22(2): 60-63. [5] 陆秀令, 张振飞, 胡红艳, 等.基于自适应FIR预测滤波器的谐波检测[J]. 高电压技术, 2008, 34(7): 1494-1498. Lu Xiuling, Zhang Zhenfei, Hu Hongyan, et al. Harmonic detection based on adaptive FIR predictive Filter [J]. High Voltage Technology, 2008, 34(7): 1494-1498. [6] 罗安. 电网谐波治理和无功补偿技术及装备[M]. 北京: 中国电力出版社, 2006. [7] 柴旭峥, 文习山, 关根志, 等. 一种高精度的电力系统谐波分析算法[J]. 中国电机工程学报, 2003, 23(9): 67-70. Chai Xuzheng, Wen Xishan, Guan Genzhi, et al. An algorithm with high accuracy for analysis of power system harmonics[J]. Proceedings of the Chinese Society for Electrical Engineering, 2003, 23(9): 67-70. [8] Elamin I , Arafa H I. Artificial neural networks for power systems harmonic estimation[C]. Proceedings of ICHQP’98. Athens, Greece: IEEE, 1998: 999-1009.
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